CLEAR'07 evaluation of usc human tracking system for surveillance videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4625 LNCS, Issue , 2008, Pages 191-196

  Wu, B ^a   Singh, V K ^a   Kuo, C H ^a   Zhang, L ^a   Lee, S C ^a   Nevatia, R ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODELING; EVALUATION RESULTS; HEIDELBERG (CO); HUMAN DETECTION; HUMAN TRACKING; INTERNATIONAL (CO); MOVING REGIONS (MR); MULTI VIEW; MULTI-MODAL; MULTITHREADING (MT); SHAPE BASED; SURVEILLANCE VIDEOS; TEST SETS;

SENSORS;

SECURITY SYSTEMS;

EID: 47749142047     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68585-2_16     Document Type: Conference Paper

References (3)

1. Wu, B., Nevatia, R.: Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors. International Journal of Computer Vision (2007)
2. Wu, B., Song, X., Singh, V.K., Nevatia, R.: Evaluation of USC Human Tracking System for Surveillance Videos. In: CLEAR Evaluation Campaign and Workshop, in conjunction with FG 2006 (2006)
3. Kasturi, R., Goldgof, D., Soundararajan, P., Manohar, V., Boonstra, M., Korzhova, V.: Performance Evaluation Protocal for Face, Person and Vehicle Detection & Tracking in Video Analysis and Centent Extraction (VACE-II) CLEAR - Classification of Events, Activities and Relationships, http://www.nist.gov/speech/tests/clear/2006/CLEAR06106EvalDiscDoc/ -DataandInformation/ClearEval_Protocol_v6.pdf